Overview
Learn basic cloud technology for data science & analytics, and get to know key players like AWS, GCP, Azure & Snowflake
Syllabus
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- Introduction to Cloud Computing
-- Definition and Key Concepts
-- Benefits and Challenges of Cloud Computing
- Cloud Service Models
-- Infrastructure as a Service (IaaS)
-- Platform as a Service (PaaS)
-- Software as a Service (SaaS)
- Cloud Deployment Models
-- Public Cloud
-- Private Cloud
-- Hybrid Cloud
-- Community Cloud
- Major Cloud Service Providers
-- Amazon Web Services (AWS)
-- Microsoft Azure
-- Google Cloud Platform (GCP)
- Core Cloud Technologies for Data Professionals
-- Storage Solutions
--- Object Storage
--- Block Storage
--- File Storage
-- Compute Options
--- Virtual Machines
--- Containers and Kubernetes
-- Networking in the Cloud
- Security and Compliance in Cloud Computing
-- Data Privacy and Protection
-- Compliance Standards
- Cloud Cost Management
-- Pricing Models
-- Best Practices for Optimization
- Case Studies and Real-World Applications
-- Migrating to the Cloud
-- Examples of Cloud Use in Data Projects
- Summary and Future Trends in Cloud Computing
-- Emerging Technologies
-- The Role of AI and Machine Learning in Cloud Platforms
Taught by
Maven Analytics and Chris Bruehl
Tags
On-Demand
